I can't figure out what type of regression analysis or extrapolation technique to use in order to come up with an equation for the data I have plotted.
For a school project, I've been testing diodes ...

I have some large amount of people take test A. Based on the scores on test A, I assign them either to group A1 or to group A2. A1 are the people with scores at least 50% on test A, and A2 has people ...

Situation
I'll describe the situation through a made-up example. Suppose there is a village of 1,000 households where people collectively bought $F$ kg of food over some period of time, and ended up ...

The most common distinction I've seen made between interpolation and extrapolation is that interpolation is within the range of the data, whereas extrapolation is outside the range of the data. This ...

For my research I am doing an health economic assessment of patients with a renal transplant. For my model I need to know their (yearly) mortality probability. My plan was to extrapolate survival data ...

I am trying to fit a non linear regression model on a set of data points which I know is incomplete. When visualizing the data, the relationship looks quite simple between my features and dependent ...

Recently, I obtained several PCA plots, and because I am unable to produce eigenvalues for higher dimensions, I tried to extrapolate them based on the available data. The reason why I want to do this ...

I have a model given by cubic splines within a certain number of intervals defining a valid range in total and some end conditions (second derivatives are zero). The whole model can be shifted in x ...

I am conducting a survey in 9 restaurants, hoping to gather data on our customer demographic profile.
The population is equal to the number of covers the restaurant had over the corresponding period ...

I have a time-series data containing 27 values (of no. of Vehicles) from 1990 to 2016. I wanted to predict - based on the underlying trend - the values upto 2050 (which is a long shot I agree).
Upon ...

I have time-series data of national-level population estimates from 1990 to 2015. I also have subnational-level population estimates (thus, the distribution of national data), but only for years 2000 ...

I'm interested in extrapolating treatment effects from RCTs to new populations under conditions where populations exhibit relevant differences that induce differences in treatment effects.
My aim is ...

I am working on a Machine Learning project with data that is already (heavily) biased by data selection.
Let's assume you have a set of hard coded rules.
How do you build a machine learning model to ...

I would like to extrapolate different curves I've fitted to my dataset (just two variables).
However, apart from the constant, linear, polynomial (so it basically includes the linear approach), and ...

This seems like it should be easier than it is, but I'm stuck trying to determine if a data set I have represents a truncated normal distribution. The hypothesis I'm testing is that the data you see ...

Kernel smoother is a typical non-parametric regression method that can be used well for interpolation. However, it can not predict the data outside the range of training data. Why ? If we have a look ...

I have a sample dataset with about a million records with about 7 feature variables. On running logistic regression on this dataset, I got 5 features with a positive coefficient and 2 with a negative ...

I have a study which provides the mean difference for two groups (alongside 95%CI, SE, n and p-value). I would like to extrapolate the raw means to use in Revman to perform a random-effect SMD meta-...

Let's say I have three bins of red and blue balls. Each bin has exactly 1000 balls in it, but the problem is that I don't know exactly how many balls there are of each color in the three bins. I only ...

I have a survey that was administered once to establish baseline, and again to follow up. The baseline was created from a random sample of the population (1,200 respondents). The follow up survey (~...

I am attempting to extrapolate a Extended Cox Model (cox model with a time-varying covariate) from 6 years to 30 years in R. Is there a way to do this?
I have thought of a mediocre way of doing this:
...

I'm sorry for lack of technical vocabulary, I'm not a mathematician but an undergraduate student in business informatics.
This is my current situation:
I am given an observations vector $\textbf{X}$ ...